Mini-workshop on Graph Neural Networks for Tracking
Friday 3 June 2022 -
09:00
Monday 30 May 2022
Tuesday 31 May 2022
Wednesday 1 June 2022
Thursday 2 June 2022
Friday 3 June 2022
09:00
Welcome
-
Savannah Jennifer Thais
(
Princeton University (US)
)
Welcome
Savannah Jennifer Thais
(
Princeton University (US)
)
09:00 - 09:10
09:10
Accelerated Graph Neural Network Inference
-
Javier Mauricio Duarte
(
Univ. of California San Diego (US)
)
Accelerated Graph Neural Network Inference
Javier Mauricio Duarte
(
Univ. of California San Diego (US)
)
09:10 - 09:50
09:50
A differentiable graph pooling method based on spatial clustering algorithms”
-
Ryan Liu
A differentiable graph pooling method based on spatial clustering algorithms”
Ryan Liu
09:50 - 10:10
10:10
BESIII track finding algorithm based on edge-classifying GNN
-
Xiaoqian Jia
BESIII track finding algorithm based on edge-classifying GNN
Xiaoqian Jia
10:10 - 10:30
10:30
Coffee
Coffee
10:30 - 10:50
10:50
Heterogeneous GNN for tracking
-
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
Heterogeneous GNN for tracking
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
10:50 - 11:10
11:10
GNN Interpretability in HEP
-
Savannah Jennifer Thais
(
Princeton University (US)
)
GNN Interpretability in HEP
Savannah Jennifer Thais
(
Princeton University (US)
)
11:10 - 11:50
11:50
Pion reconstruction in the ATLAS detector using Graph Neural Networks
-
Piyush Karande
Pion reconstruction in the ATLAS detector using Graph Neural Networks
Piyush Karande
11:50 - 12:10
12:10
Lunch
Lunch
12:10 - 13:10
13:10
Graph generative networks
-
Thiago Tomei Fernandez
(
UNESP - Universidade Estadual Paulista (BR)
)
Graph generative networks
Thiago Tomei Fernandez
(
UNESP - Universidade Estadual Paulista (BR)
)
13:10 - 13:40
13:40
Towards Achieving Real-time GNN Inference
-
Alina Lazar
Alina Lazar
Towards Achieving Real-time GNN Inference
Alina Lazar
Alina Lazar
13:40 - 14:00
14:00
Equivariant Graph Networks
-
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
Equivariant Graph Networks
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
14:00 - 14:30